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» On Complexity of Easy Predictable Sequences
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ICPR
2010
IEEE
14 years 2 months ago
Integrating a Discrete Motion Model into GMM Based Background Subtraction
GMM based algorithms have become the de facto standard for background subtraction in video sequences, mainly because of their ability to track multiple background distributions, w...
Christian Wolf, Jolion Jolion
IEICET
2008
89views more  IEICET 2008»
13 years 7 months ago
Near-Optimal Block Alignments
Abstract-In this paper, we improve the idea of the near-optimal alignments. Though the near optimal alignments increase the possibility to find the correct alignment, too many of t...
Kuo-Tsung Tseng, Chang-Biau Yang, Kuo-Si Huang, Yu...
JUCS
2010
106views more  JUCS 2010»
13 years 6 months ago
Near Eyes-Free Chauffeur Computer Interaction with Chording and Visual Text Mnemonics
: Modern cars are equipped with advanced technology requiring cognitively complex operation that is reliant on the user’s visual attention. It is therefore hazardous for drivers ...
Frode Eika Sandnes, Yo-Ping Huang, Yueh-Min Huang
BMCBI
2010
119views more  BMCBI 2010»
13 years 7 months ago
Multi-task learning for cross-platform siRNA efficacy prediction: an in-silico study
Background: Gene silencing using exogenous small interfering RNAs (siRNAs) is now a widespread molecular tool for gene functional study and new-drug target identification. The key...
Qi Liu, Qian Xu, Vincent Wenchen Zheng, Hong Xue, ...
ROCAI
2004
Springer
14 years 1 months ago
Learning Mixtures of Localized Rules by Maximizing the Area Under the ROC Curve
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
Tobias Sing, Niko Beerenwinkel, Thomas Lengauer